ycremar / awesome-coincidences-between-two-papersLinks
The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.
☆32Updated 2 years ago
Alternatives and similar repositories for awesome-coincidences-between-two-papers
Users that are interested in awesome-coincidences-between-two-papers are comparing it to the libraries listed below
Sorting:
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Updated 2 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- ☆62Updated 5 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆118Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆70Updated 3 months ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated 3 months ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated last month
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 6 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆71Updated 9 months ago
- Edge-Augmented Graph Transformer☆51Updated 3 years ago
- OOD Dataset Curator and Benchmark for AI-aided Drug Discovery☆167Updated 3 years ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year
- ☆34Updated 4 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Updated 2 years ago